Ultrasonic imaging method and system and storage medium

Abstract

The embodiment of the invention provides an ultrasonic imaging method and system and a storage medium. The method comprises the following steps: performing real-time ultrasonic imaging on a to-be-imaged tissue to generate a series of ultrasonic images and parameter measurement results; a decision tree about the to-be-imaged organization is displayed, the decision tree comprises nodes, the nodes comprise a root node, a plurality of internal nodes and a plurality of leaf nodes, the root node is linked with each of the leaf nodes through a preset number of internal nodes to form a plurality of links, and the plurality of links are connected with the plurality of internal nodes; each of the plurality of leaf nodes corresponds to a diagnosis result; automatically matching the parameter measurement result with each node according to the at least one decision condition; and automatically updating the display of the decision tree according to the automatic matching result. A doctor can be assisted in ultrasonic scanning or measurement, and the diagnosis burden of the doctor is relieved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of medical equipment technology, and in particular to an ultrasound imaging method, system and storage medium. Background Art

[0002] With the development of ultrasound imaging technology, ultrasound imaging technology is increasingly being used in auxiliary diagnosis. For example, ultrasound examinations are performed on patients' thyroid glands, hearts and other organs, and doctors use ultrasound images and parameter measurement results to diagnose organ functions, lesions, etc.

[0003] It should be noted that the above introduction to the technical background is only intended to provide a clear and complete description of the technical solution of the present application and to facilitate understanding by those skilled in the art. Summary of the invention

[0004] In medical diagnosis, some lesions can be found directly by observing ultrasound images, but some lesions can only be found after complex measurements and decisions. Since the diagnostic process is complicated, doctors are prone to make mistakes.

[0005] For example, for the diagnosis of left ventricular diastolic function (LVDF), the American Society of Echocardiography and the European Association of Cardiovascular Imaging (ASE / EACVI) guidelines clearly guide the diagnostic process for LVDF. However, since this diagnostic process is relatively complicated, doctors need to fully review the ultrasound images and measurement results of the heart and make complex decision-making processes in their minds before they can reach a correct diagnostic conclusion. Therefore, some doctors are psychologically reluctant to perform the full diagnostic process according to the guidelines and only review some key parameters. For example, when they see that the mitral inflow is normal, they will not continue to diagnose LVDF. However, this may lead to misdiagnosis of grade II diastolic dysfunction or even misdiagnosis of heart failure with preserved ejection fraction (HFpEF).

[0006] In response to at least one of the above technical problems, the embodiments of the present application provide an ultrasound imaging method, system and storage medium to assist doctors in obtaining required ultrasound images and reduce the diagnostic burden of doctors.

[0007] According to a first aspect of an embodiment of the present application, there is provided an ultrasonic imaging method, the method comprising:

[0008] Perform real-time ultrasound imaging of the tissue to be imaged and generate a series of ultrasound images and parameter measurement results;

[0009] Displaying a decision tree about the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes and a plurality of leaf nodes, the root node and each internal node respectively comprising at least one decision condition, the root node respectively links each of the plurality of leaf nodes through a predetermined number of internal nodes to form a plurality of links, the predetermined number being determined by the decision condition, and each of the plurality of leaf nodes respectively corresponding to a diagnosis result;

[0010] Automatically matching the parameter measurement result with each of the nodes according to the at least one decision condition; and

[0011] The display of the decision tree is automatically updated according to the result of the automatic matching.

[0012] According to a second aspect of the embodiments of the present application, there is provided an ultrasound imaging system, the system comprising: a processor, the processor executing the steps of the method described in the embodiments of the first aspect.

[0013] According to a third aspect of the embodiments of the present application, a non-transitory computer-readable storage medium is provided, which is used to store a computer program. When the computer program is executed by a computer, the computer executes the method described in the embodiments of the first aspect.

[0014] One of the beneficial effects of the embodiments of the present application is that it can automatically match the ultrasound images and parameter measurement results with the decision conditions of the decision tree and display the matching results, thereby assisting doctors in performing ultrasound scanning or measurement and reducing the diagnostic burden of doctors.

[0015] With reference to the following description and accompanying drawings, the specific implementation of the embodiment of the present application is disclosed in detail, indicating the way in which the principle of the embodiment of the present application can be adopted. It should be understood that the implementation of the present application is not limited in scope. Within the scope of the spirit and clauses of the attached claims, the implementation of the present application includes many changes, modifications and equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The included drawings are used to provide a further understanding of the embodiments of the present application, which constitute a part of the specification, are used to illustrate the implementation methods of the present application, and together with the text description, explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other implementation methods can be obtained based on these drawings without creative work. In the drawings:

[0017] Figure 1 is a schematic diagram of an ultrasonic imaging method according to an embodiment of the present application;

[0018] Figure 2is a schematic diagram of a decision tree of an embodiment of the present application;

[0019] Figure 3 This is a schematic diagram of using the decision tree of left ventricular diastolic function to assist doctors in ultrasound scanning;

[0020] Figure 4 is another schematic diagram of using the decision tree of left ventricular diastolic function to assist doctors in ultrasound scanning;

[0021] Figure 5 is another schematic diagram of the ultrasonic imaging method according to an embodiment of the present application;

[0022] Figure 6 It is a schematic diagram of a part of the process of the ultrasound imaging method according to an embodiment of the present application;

[0023] Figure 7 Another schematic diagram of using the decision tree of left ventricular diastolic function to assist doctors in ultrasound scanning.

[0024] Figure 8 is a schematic diagram showing a first button in a first interface according to an embodiment of the present application;

[0025] Fig. 9 is a schematic diagram of performing real-time parameter measurement in the method of an embodiment of the present application;

[0026] Fig.10 is a block diagram of an ultrasound imaging system according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] With reference to the accompanying drawings, the foregoing and other features of the embodiments of the present application will become apparent through the following description. In the description and the accompanying drawings, specific embodiments of the present application are specifically disclosed, which show some embodiments in which the principles of the embodiments of the present application can be adopted. It should be understood that the present application is not limited to the described embodiments. On the contrary, the embodiments of the present application include all modifications, variations and equivalents that fall within the scope of the attached claims.

[0028] In the embodiments of the present application, the terms "first", "second", etc. are used to distinguish different elements in terms of title, but do not indicate the spatial arrangement or temporal order of these elements, etc., and these elements should not be limited by these terms. The term "and / or" includes any one and all combinations of one or more of the associated listed terms. The terms "comprising", "including", "having", etc. refer to the presence of the stated features, elements, components or components, but do not exclude the presence or addition of one or more other features, elements, components or components.

[0029] In the embodiments of the present application, the singular forms "a", "the", etc. include plural forms and should be broadly understood as "a kind" or "a type" rather than being limited to the meaning of "one"; in addition, the term "said" should be understood to include both singular and plural forms, unless the context clearly indicates otherwise. In addition, the term "according to" should be understood as "at least in part according to...", and the term "based on" should be understood as "at least in part based on...", unless the context clearly indicates otherwise.

[0030] Features described and / or shown for one embodiment may be used in one or more other embodiments in the same or similar manner, combined with features in other embodiments, or replace features in other embodiments. The term "includes / comprising" when used herein refers to the presence of a feature, an entirety, a step, or a component, but does not exclude the presence or addition of one or more other features, entireties, steps, or components.

[0031] An embodiment of the present application provides an ultrasonic imaging method. Figure 1 FIG. 1 is a schematic diagram of an ultrasonic imaging method according to an embodiment of the present application. Figure 1 As shown, the method includes:

[0032] 101: Perform real-time ultrasound imaging of the tissue to be imaged, and generate a series of ultrasound images and parameter measurement results;

[0033] 102: Displaying a decision tree about the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes and a plurality of leaf nodes, the root node and each internal node respectively comprising at least one decision condition, the root node respectively links each of the plurality of leaf nodes through a predetermined number of internal nodes to form a plurality of links, the predetermined number being determined by the decision condition, and each of the plurality of leaf nodes respectively corresponding to a diagnosis result;

[0034] 103: Automatically matching the parameter measurement result with each of the nodes according to the at least one decision condition; and

[0035] 104: Automatically update the display of the decision tree according to the result of the automatic matching.

[0036] Thus, according to the automatic matching of the ultrasonic image and parameter measurement results with the decision conditions of the decision tree and the display of the matching results, it is possible to assist doctors in ultrasonic scanning or measurement and reduce the diagnostic burden of doctors. In the conventional ultrasonic diagnosis process, the doctor first obtains a series of ultrasonic images through ultrasonic scanning, then performs a series of measurements on these ultrasonic images, and then manually compares them with the diagnostic basis. Since a series of ultrasonic images and corresponding measurements may have many different purposes, such as for different tissues to be imaged or different locations of interest of the same tissue to be imaged. When a doctor needs to compare images and measurements for a specific diagnosis (for example, LVDF), it is necessary to exclude irrelevant ones from a large number of images and measurements, and then manually compare them with the decision tree. In the above-mentioned embodiment of the present application, the decision tree is intuitively displayed and the decision conditions contained therein are configurable. The configurability includes automatic matching with existing data and automatic updating display according to matching. Among them, the automatic matching process eliminates the need for doctors to select and compare one by one from a large amount of redundant data, and the automatic update enables doctors to intuitively understand the progress of decision tree decisions. Ultimately, the diagnostic burden is greatly reduced.

[0037] In the embodiment of the present application, an ultrasound device is used to scan the tissue to be imaged to obtain a series of ultrasound images and parameter measurement results. In addition, the parameter measurement can be manually measured by the operator of the ultrasound scan, or it can be automatically measured by a machine through automatic measurement means such as image recognition. The embodiment of the present application does not limit how to obtain the ultrasound image and parameter measurement results, and the specific implementation method can refer to the relevant technology.

[0038] In addition, operation 101 may not be necessary, that is, the ultrasound images and parameter measurement results may also be acquired and stored in advance, and operation 101 may be replaced by "obtaining a series of ultrasound images and parameter measurement results of the tissue to be imaged" or "reading a series of ultrasound images and parameter measurement results of the tissue to be imaged."

[0039] Figure 2 It is a schematic diagram of a decision tree of an embodiment of the present application.

[0040] like Figure 2 As shown, the decision tree 2 includes a node 200, and the node 200 includes a root node 210, internal nodes 220 (e.g., internal nodes 220-1 to 220-5) and leaf nodes 230 (e.g., leaf nodes 230-1 to 230-4), and the root node 210 is linked to the leaf nodes 230 through a predetermined number of internal nodes 220 to form a link.

[0041] In an embodiment of the present application, the decision tree is related to the diagnostic process of the tissue to be imaged. The root node 210 and each internal node 220 respectively include at least one decision condition, and the decision condition is related to the information contained in the ultrasound image and / or the parameter measurement results. Each leaf node 230 corresponds to a diagnostic result, and the decision condition determines the direction of the link. That is, each decision condition determines which link to follow at the node until it is linked to the final leaf node 230. The number of internal nodes 220 contained in each link is determined by the decision condition.

[0042] A link may contain zero internal nodes 220, for example, Figure 2 As shown, the root node 210 is directly linked to the leaf node 230 - 1 , that is, the decision condition contained in the root node 210 allows the root node 210 to be directly linked to the leaf node 230 - 1 .

[0043] A link may also include one or more internal nodes 220, such as Figure 2 As shown, the link from the root node 210 is through the internal node 220-2 to the leaf node 230-4, that is, the decision condition contained in the root node 210 allows the link from the root node 210 to the internal node 220-2, and the decision condition contained in the internal node 220-2 allows the link from the internal node 220-2 to the leaf node 230-4; or, the link from the root node 210 to the leaf node 230-3 is through the internal nodes 220-1, 220-3, and 220-5, that is, the decision condition contained in the root node 210 allows the link from the root node 210 to the internal node 220-1, the decision condition contained in the internal node 220-1 allows the link from the internal node 220-1 to the internal node 220-3, the decision condition contained in the internal node 220-3 allows the link from the internal node 220-3 to the internal node 220-5, and the decision condition contained in the internal node 220-5 allows the link from the internal node 220-5 to the leaf node 230-3.

[0044] In some embodiments, the tissue to be imaged includes, for example, the heart, and the diagnosis result is, for example, related to the left ventricular diastolic function. Thus, the decision tree of the left ventricular diastolic function can assist doctors in performing ultrasound scanning and measurement, thereby reducing the diagnosis burden of doctors.

[0045] For the convenience of explanation, the ultrasound imaging method of the embodiment of the present application is described below using the decision tree of ultrasound scanning of the heart and left ventricular diastolic function as an example, but those skilled in the art should understand that the method of the embodiment of the present application can be applied to ultrasound scanning of any organ and the corresponding decision tree.

[0046] In some embodiments, in operation 104, at least one node that matches the parameter measurement result is highlighted in a first manner; and / or, a node to be matched is highlighted in a second manner, wherein the node to be matched links the terminal node in the at least one node and does not match the parameter measurement result. Specifically, in some embodiments, only the first manner can be used to highlight at least one node that matches the parameter measurement result. In such a display mode, the doctor can quickly and accurately see the direction of the current link and the completed measurements from the decision tree, thereby enhancing the confidence of the ultrasound examination. In some other embodiments, only the second manner can be used to highlight the node to be matched. It can be understood that the so-called node to be matched can be understood as a node in the decision tree where the link being matched is stagnant due to data loss. Such a node is actually a node that the doctor directly needs to perform imaging and / or measurement operations, and the configuration mode of the above embodiment can intuitively and concisely let the doctor understand the operations to be performed. In other embodiments, the nodes that have been matched and to be matched can be highlighted by the first manner and the second manner respectively, and accordingly, the advantages described above in this article are combined.

[0047] In an embodiment of the present application, a matched node indicates that all decision conditions contained in the node are satisfied, and a to-be-matched node indicates that at least one of the decision conditions contained in the node is not satisfied. The to-be-matched node is a blocked node in the current link and is linked to the end node of at least one of the previously matched nodes.

[0048] Figure 3 This is a schematic diagram of using the decision tree of left ventricular diastolic function to assist doctors in performing ultrasound scanning.

[0049] Figure 3 A portion of the decision tree for left ventricular diastolic function (LVDF) is shown. For the convenience of explanation, the following Figure 3 The decision tree shown is called an "LVDF decision tree", Figure 3As shown, the LVDF decision tree 3 includes a root node 310, internal nodes 320-1 to 320-10, and leaf nodes 330-1 to 330-4. The root node 310 and the internal nodes 320-1 to 320-10 each include at least one decision condition. The decision condition included in the root node 310 is, for example, "whether the parameter MV E / A Ratio and the parameter MV E Vel have been measured". If they have been measured, it means that the root node 310 matches, otherwise it means that the root node 310 is to be matched; for another example, the decision condition included in the internal node 320-4 may be "whether the parameter E / E'Avg, the parameter TR Vmax and the parameter LA Vol.Index have been measured", "1. E / E'Avg>14", "2. TR Vmax>2.8m / s" and "3. LA Vol.Index>34ml / m 2 " If at least one of the above parameters has been measured, it means that the internal node 320-4 matches, or, further compare the size of each parameter with the predetermined threshold, if at least one parameter satisfies the conditional expression, it means that the internal node 320-4 matches; otherwise, for example, if there is an unmeasured parameter, it means that the internal node 320-4 is to be matched.

[0050] In the above example, a first way of highlighting is, for example, filling the matching nodes with a color different from the colors of other nodes, e.g. Figure 3 In the figure, before the automatic matching is started, all nodes are not filled with colors. After the automatic matching is started, the matched root node 310 and the internal node 320-2 are filled with colors to distinguish them from other nodes, including nodes to be matched, unmatched nodes and unmatched nodes.

[0051] In the embodiment of the present application, the unmatched node is a node other than the matching node in the superior node of the node to be matched, for example, Figure 3 As shown, the next-hop node of the root node 310 includes three internal nodes, namely internal node 320-1, internal node 320-2 and internal node 320-3. The next-hop node of internal node 320-2 is internal node 320-4. In this example, the node to be matched is internal node 320-4, and its upper-level nodes include internal node 320-1, internal node 320-2, internal node 320-3 and root node 310. Among these nodes, internal node 320-2 and root node 310 are matching nodes, and internal node 320-1 and internal node 320-3 are unmatched nodes.

[0052] In the embodiment of the present application, the unmatched nodes are all subordinate nodes of the node to be matched. Figure 3In the decision tree shown, the node to be matched is the internal node 320 - 4 , and the unmatched nodes are all subordinate nodes of the internal node 320 - 4 , that is, the internal nodes 320 - 5 to 320 - 10 and the leaf nodes 330 - 1 to 330 - 4 .

[0053] In the above example, the second way of highlighting is, for example, partially highlighting the node to be matched. Figure 3 In the figure, a plurality of textual information are displayed in the internal node 230-4. These textual information may be decision conditions, and a part of the textual information may be highlighted. For example, a highlighted decision condition indicates that the decision condition has been successfully matched, or a highlighted decision condition indicates that the decision condition has not been successfully matched, and vice versa.

[0054] In the embodiment of the present application, matching nodes or nodes to be matched may also be displayed by highlighting methods such as luminous display, bold display, character jumping, etc., so that these nodes are displayed differently from other nodes, thereby prompting the user.

[0055] In addition, other nodes may be displayed in a non-prominent manner so that the matching node or the node to be matched is highlighted, for example, other nodes may be displayed in an invisible manner such as semi-transparent or transparent, so that the matching node or the node to be matched is highlighted. The embodiment of the present application does not limit the way of highlighting.

[0056] In some embodiments, in operation 104, prompt information about the node to be matched may also be displayed, where the prompt information includes information on parameter measurements required to match the node to be matched.

[0057] Figure 4 Another schematic diagram of using the decision tree of left ventricular diastolic function to assist doctors in ultrasound scanning.

[0058] For example, Figure 4 As shown, the parameters to be measured may be displayed in the form of a pop-up window 410 .

[0059] In the above example, if Figure 3 As shown, the decision condition contained in the internal node 230-4 includes "whether the parameter E / E'Avg, the parameter TR Vmax and the parameter LA Vol.Index have been measured". If the parameter LA Vol.Index has not been measured, such as Figure 3 As shown, the conditional expression corresponding to the parameter can be highlighted, or Figure 4 As shown, a prompt message indicating that the parameter LAVol.Index needs to be measured is displayed in a pop-up window, thereby assisting the doctor in measuring the corresponding parameter.

[0060] Figure 5is another schematic diagram of the ultrasonic imaging method according to an embodiment of the present application.

[0061] In some embodiments, Figure 5 As shown, the method may also include:

[0062] 501: Obtain new parameter measurement results;

[0063] 502: Performing new automatic matching on the new parameter measurement result; and

[0064] 503: Automatically update the display of the decision tree according to the new automatic matching result.

[0065] The measurement results of the new parameters can be obtained by the doctor performing targeted ultrasound imaging and measurement after obtaining the matching result prompt in the above embodiment of the present application. Figure 5 In the illustrated embodiment, when it is detected that a new parameter measurement result is stored, the decision tree matching is restarted using the new parameter measurement result. For example, all decision conditions can be rematched starting from the root node again, or the decision conditions contained in the node to be matched and the decision conditions in the subsequent nodes can be matched starting from the node to be matched. The embodiment of the present application is not limited to this. The above process can be performed automatically. Such a configuration can further simplify the doctor's work and improve work efficiency. In the actual scanning process, the imaging and measurement operations may not be completed in one go. The above implementation method of the present application can ensure that the doctor continues to receive automatic and accurate prompts during the operation, and the real-time updated decision tree can provide instant guidance for the doctor.

[0066] Figure 6 is a schematic diagram of a part of the process of the ultrasound imaging method of an embodiment of the present application, Figure 7 Another schematic diagram of using the decision tree of left ventricular diastolic function to assist doctors in ultrasound scanning.

[0067] Below Figure 6 Take as an example to illustrate the process of obtaining new parameter measurement results in the decision tree matching process.

[0068] In some embodiments, Figure 6 As shown, process 600 may include:

[0069] 601: Start matching;

[0070] 602: Initializing the number i of decision conditions;

[0071] 603: Determine whether all the data required for the current decision condition already exists. If yes, proceed to 607; if no, proceed to 604;

[0072] 604: outputting prompt information indicating acquisition of required data;

[0073] 605: Determine whether there is new data stored, if "yes", go to 606, if "no", continue waiting;

[0074] 606: Determine whether all required data has been obtained, if "yes", proceed to 607, if "no", return to 604;

[0075] 607: Match the current decision condition according to the existing data, and determine the next hop node according to the matching result;

[0076] 608: Determine whether the current decision condition is the final decision condition, if yes, proceed to 610, if no, proceed to 609;

[0077] 609: Move to the next decision condition and return to 603;

[0078] 610: Output the matching result.

[0079] In the above example, the number i of decision conditions can be the number of all decision conditions in a link, or the number of decision conditions in a certain node. The prompt information in step 604 can be information for controlling the display device to highlight. The next hop node in step 607 can be an internal node or a leaf node. The final decision condition in step 608 can be the last decision condition in the last node (which can be a root node or an internal node) in a link, or the last decision condition in the decision conditions contained in a certain node.

[0080] The matching result in step 610 may be as follows: Figure 7 The entire link from the root node 310 through the internal nodes 320-2, 320-4, 320-5, 320-7 to the leaf node 330-3 shown may also be a highlight of a matching node or a diagnosis result corresponding to the leaf node.

[0081] The implementation methods of the above steps can be configured accordingly according to actual needs, and reference can also be made to the aforementioned embodiments, which are not limited in the embodiments of the present application.

[0082] Such a configuration can provide assistance for a variety of different ultrasonic diagnostic situations. For example, in one case, the current ultrasonic image and its measurement results have covered an entire link. At this point, the solution of the present application can directly provide the doctor with a certain diagnosis result. In combination with the remaining embodiments of the present application, each matched node can also be highlighted so that the doctor can clearly understand how the results are generated, thereby improving work efficiency and enhancing scanning confidence. Alternatively, in another case, the doctor gradually performs ultrasonic imaging and measurement under the guidance of the implementation method of the present application. At this point, the solution of the present application can match the updated data and the decision conditions of the nodes in real time until a certain link is completed.

[0083] In an embodiment of the present application, ultrasound images and parameter measurements can be performed in real time, that is, the method of the embodiment of the present application can be embedded in the process of ultrasound scanning, for example, a button for starting a decision tree is displayed in an interface related to ultrasound scanning, and a button for returning to ultrasound scanning is displayed in the interface displaying the decision tree.

[0084] For example, in operation 102, a first button is displayed in a first interface related to real-time ultrasound imaging, and the first button can be triggered to open a second interface containing the decision tree; in response to the first button being triggered, the second interface is displayed.

[0085] In some embodiments, the second interface further includes:

[0086] A reduction button that can be triggered to reduce the second interface and a maximize button that can be triggered to maximize the second interface.

[0087] In some embodiments, the method may further include:

[0088] In response to the zoom-out button being triggered, zooming out and displaying the second interface in a form that does not cover at least a portion of the first interface;

[0089] In response to the maximization button being triggered, the second interface is displayed in a maximized manner.

[0090] In some embodiments, the second interface is displayed overlapping the first interface.

[0091] In this implementation, the maximized second interface can help doctors to observe each decision detail in the decision tree and determine the progress of the current link. The reduced second interface is configured not to block the first interface, which can help doctors to perform the next step of imaging or measurement after observing the decision tree without increasing too much workflow.

[0092] In some other embodiments, the second interface and the first interface are displayed on different display devices. For example, on an ultrasound machine equipped with two display devices, the main interface can be used to display the first interface, and the second interface (for example, on the touch screen of the ultrasound machine) can be used to display the second interface. For example, the first interface and the second interface can be arranged up and down, and the doctor can refer to the decision tree while performing real-time imaging or measurement. In this configuration, the doctor does not need to operate the decision tree, and the real-time imaging guidance is faster and more efficient.

[0093] Figure 8 is a schematic diagram showing a first button in a first interface of an embodiment of the present application, Fig. 9 It is a schematic diagram of performing real-time parameter measurement in the method of an embodiment of the present application.

[0094] Below Figure 3 , Figure 4 , Figure 8 and Fig. 9 The method of displaying the first interface and the second interface is described by taking the example of FIG.

[0095] like Figure 8 As shown, the first interface 810 is an interface related to real-time ultrasound imaging, for example, an interface for displaying a worksheet, in which a first button 811 is displayed. The first button 811 is a button for displaying a decision tree. When the button is triggered, for example, Figure 3 The second interface 300 shown. In addition, the first interface 810 may be, for example, an interface for performing real-time ultrasound scanning, for example, Fig. 9 The first interface 910 is shown.

[0096] like Figure 3 As shown, the second interface 300 may include a zoom-out button 301. When the zoom-out button 301 is triggered, the second interface 300 is zoomed out and displayed. For example, Fig. 9 As shown, the reduced second interface is displayed in a bar interface 920, so that the area where effective information is displayed in the first interface 910 is not blocked. The effective information includes, for example, an ultrasound scan image, an information list, a parameter measurement screen, and the like.

[0097] like Figure 3 As shown, the second interface 300 may also include a maximize button 302. When the maximize button 302 is triggered, the second interface 300 is displayed in an enlarged manner, for example, the second interface 300 is displayed in the maximum size that the display device can display, or the display of the second interface 300 is restored when the second interface 300 is displayed in a minimized manner.

[0098] like Figure 3As shown, the second interface 300 can be displayed overlappingly on the first interface 910. In addition, the second interface 300 and the first interface 910 can also be displayed on different display devices. For example, when the ultrasound scanning system is configured with a main display and a sub-display, the first interface 910 can be displayed on the main display, and the second interface 300 can be displayed on the sub-display.

[0099] In the embodiments of the present application, Figure 3 As shown, the second interface 300 may further include an exit button 303 . In response to the exit button 303 being triggered, the display of the second interface 300 is exited in the first interface 910 , that is, the second interface 300 is not displayed in the first interface 910 .

[0100] In the above example, for example, Figure 3 There is a node 320-4 to be matched in the LVDF decision tree 3 shown, that is, there are scanned images and / or parameter measurements that need to be supplemented, then the operator of the ultrasound scan can trigger the zoom-out button 301 to zoom out the second interface 300 and expose the first interface 910, for example, as Fig. 9 As shown, real-time ultrasound scanning or real-time parameter measurement is performed in the first interface 910 to obtain a new scan image 901 or a new parameter measurement 902. Then the operator can trigger the maximize button on the stick-shaped second interface 920 to return to the Figure 3 The display of the second interface 300 is shown.

[0101] In addition, Figure 4 In the example of FIG. 4 , when the scanned image and / or parameter measurement that needs to be supplemented is displayed in a pop-up window 410, a confirmation button 401 may be displayed on the pop-up window 410. In response to the confirmation button 401 being triggered, the user may return to the Figure 3 The display shown can also display Fig. 9 The display screen shown.

[0102] It can be seen from the above embodiments that automatically matching the ultrasound image and parameter measurement results with the decision conditions of the decision tree and displaying the matching results can assist doctors in performing ultrasound scanning or measurement and reduce the diagnosis burden of doctors.

[0103] The present application also provides an ultrasonic imaging system. Fig.10 is a block diagram of an ultrasound imaging system according to an embodiment of the present application.

[0104] like Fig.10 As shown, the ultrasound imaging system 1000 includes a processor 1001, and the processor 1001 executes the steps of the ultrasound imaging method described in the above embodiment.

[0105] In some embodiments, Fig.10As shown, the ultrasound imaging system 1000 may further include a display device 1002, which receives instructions from the processor 1001 and displays a corresponding interface. The implementation of the display device 1002 may refer to related technologies, and the present application embodiment does not limit this.

[0106] In some embodiments, Fig.10 As shown, the display device 1002 may include two display devices 1002 - 1 and 1002 - 2 , and the display device 1002 - 2 is, for example, a touch screen.

[0107] In addition, the ultrasound imaging system 1000 may further include a probe / probe, cables, etc., which are not shown in the figure. For details, please refer to the relevant technology, and the embodiments of the present application are not limited to this.

[0108] An embodiment of the present application also provides a computer-readable program, wherein when the program is executed, the program enables the computer to execute the ultrasonic imaging method described in the above-mentioned embodiment in an ultrasonic imaging device or an ultrasonic imaging system.

[0109] An embodiment of the present application also provides a non-transitory computer-readable storage medium, which is used to store a computer program. When the computer program is executed by a computer, the computer executes the ultrasound imaging method described in the above embodiment.

[0110] The above embodiments are merely exemplary of the embodiments of the present application, but the present application is not limited thereto, and appropriate modifications may be made based on the above embodiments. For example, the above embodiments may be used alone, or one or more of the above embodiments may be combined.

[0111] The present application is described above in conjunction with specific implementation methods, but it should be clear to those skilled in the art that these descriptions are exemplary and are not intended to limit the scope of protection of the present application. Those skilled in the art can make various modifications and variations to the present application based on the spirit and principles of the present application, and these modifications and variations are also within the scope of the present application.

[0112] The preferred embodiments of the present application are described above with reference to the accompanying drawings. Many features and advantages of these embodiments are clear from this detailed description, and therefore the appended claims are intended to cover all such features and advantages of these embodiments that fall within their true spirit and scope. In addition, since many modifications and variations are easily conceivable to those skilled in the art, the embodiments of the present application are not intended to be limited to the precise structures and operations illustrated and described, but all suitable modifications, variations, and equivalents that fall within their scope may be covered.

Claims

1. An ultrasonic imaging method, characterized in that: The method comprises: Perform real-time ultrasound imaging of the tissue to be imaged and generate a series of ultrasound images and parameter measurement results; Displaying a decision tree about the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes and a plurality of leaf nodes, the root node and each internal node respectively comprising at least one decision condition, the root node respectively links each of the plurality of leaf nodes through a predetermined number of internal nodes to form a plurality of links, the predetermined number being determined by the decision condition, and each of the plurality of leaf nodes respectively corresponding to a diagnosis result; Automatically matching the parameter measurement result with each of the nodes according to the at least one decision condition; and The display of the decision tree is automatically updated according to the result of the automatic matching.

2. The method according to claim 1, characterized in that Automatically updating the display of the decision tree according to the result of the automatic matching, including: highlighting at least one node matching the parameter measurement result in a first manner; and / or The node to be matched is highlighted in a second manner, wherein the node to be matched links to an end node in the at least one node and does not match the parameter measurement result.

3. The method according to claim 2, characterized in that Automatically updating the display of the decision tree according to the result of the automatic matching, further comprising: Prompt information about the node to be matched is displayed, where the prompt information includes parameter measurement information required to match the node to be matched.

4. The method according to claim 1, characterized in that: The method further comprises: Obtain new parameter measurement results; Performing new automatic matching on the new parameter measurement results; and The display of the decision tree is automatically updated according to the new automatic matching result.

5. The method according to claim 1, characterized in that The tissue to be imaged includes a heart, and the diagnosis result is related to left ventricular diastolic function.

6. The method according to claim 1, characterized in that A decision tree about the tissue to be imaged is displayed, including: Displaying a first button in a first interface related to the real-time ultrasound imaging, wherein the first button can be triggered to open a second interface including the decision tree; In response to the first button being triggered, the second interface is displayed.

7. The method according to claim 6, characterized in that The second interface also includes: A reduction button that can be triggered to reduce the second interface and a maximize button that can be triggered to maximize the second interface.

8. The method according to claim 7, characterized in that The method further comprises: In response to the zoom-out button being triggered, zooming out and displaying the second interface in a form that does not cover at least a portion of the first interface; In response to the maximization button being triggered, the second interface is displayed in a maximized manner.

9. The method according to claim 6, characterized in that: The second interface is displayed overlapping the first interface; or The second interface and the first interface are displayed on different display devices.

10. An ultrasonic imaging system, characterized in that: The ultrasound imaging system comprises a processor which performs the steps of the method according to any one of claims 1 to 9.

11. The system according to claim 10, characterized in that The ultrasonic imaging system further includes a display device, which receives instructions from the processor and displays a corresponding interface.

12. The system according to claim 11, characterized in that The display device includes two display devices, one of which is a touch screen.

13. A non-transitory computer-readable storage medium for storing a computer program, characterized in that: When the computer program is executed by a computer, the computer is caused to execute the method according to any one of claims 1 to 9.

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